Local spectral envelope: An approach using dyadic tree-based adaptive segmentation

David S. Stoffer*, Hernando C. Ombao, David E. Tyler

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

5 Scopus citations


The concept of the spectral envelope was introduced as a statistical basis for the frequency domain analysis and scaling of qualitative-valued time series. A major focus of this research was the analysis of DNA sequences. A common problem in analyzing long DNA sequence data is to identify coding sequences that are dispersed throughout the DNA and separated by regions of noncoding. Even within short subsequences of DNA, one encounters local behavior. To address this problem of local behavior in categorical-valued time series, we explore using the spectral envelope in conjunction with a dyadic tree-based adaptive segmentation method for analyzing piecewise stationary processes.

Original languageEnglish (US)
Pages (from-to)201-223
Number of pages23
JournalAnnals of the Institute of Statistical Mathematics
Issue number1
StatePublished - 2002
Externally publishedYes


  • Adaptive segmentation
  • Categorical-valued time series
  • DNA sequences
  • Dyadictree based methods
  • Fourier analysis
  • Gene detection
  • Optimal scaling
  • Signal detection
  • Spectral envelope
  • Time-varying spectrum

ASJC Scopus subject areas

  • Statistics and Probability


Dive into the research topics of 'Local spectral envelope: An approach using dyadic tree-based adaptive segmentation'. Together they form a unique fingerprint.

Cite this